Survival Analysis is a specific statistical analysis used to analyze data that the variables connected to time until the appear an event. In this study, survival analysis can be applied in cases of cervical cancer, is looking for a survival of sufferer cervical cancer is a disease that ranks first as cause of the death women in the world. The purpose of this study is to find a probability of a one-year survival of patients cervical cancer at H. Adam Malik Hospital Medan in 2009. Kaplan-Meier method used to estimate the survival probability of patients cervical cancer. The results showed that the probability of a one-year survival rate of cervical cancer patients by 56,8% after getting treatment. This study also use cox regression as a model that describe the risk of a patient cervical cancer based on factors that affect the survival. Based on a models can be obtained sufferer in a state of advanced-stage that have risk of the death 11,442 times greater than in the early stages. And sufferer who suffer other diseases have risk of the death 0,114 times greater than a sufferer who do not suffer from other diseases.